no code implementations • COLING 2020 • Aishwarya Jadhav, Yifat Amir, Zachary Pardos
In this paper, we explore the degree to which lexical relations, such as those found in popular validation sets, can be derived and extended from a variety of neural embeddings using classical clustering methods.
no code implementations • 27 Nov 2020 • Aishwarya Jadhav
Treatment of stagnant water bodies that act as a breeding site for malarial vectors is a fundamental step in most malaria elimination campaigns.
no code implementations • 8 Apr 2020 • Aishwarya Jadhav
In recent years, neural network-based image compression techniques have been able to outperform traditional codecs and have opened the gates for the development of learning-based video codecs.
1 code implementation • ACL 2018 • Aishwarya Jadhav, Vaibhav Rajan
We present a new neural sequence-to-sequence model for extractive summarization called SWAP-NET (Sentences and Words from Alternating Pointer Networks).
Ranked #2 on Text Summarization on CNN / Daily Mail (Anonymized)